← Back to home
Comparison · Analytics

rlistings vs xportr

A side-by-side editorial comparison of rlistings and xportr — release velocity, themes, recent moves, and the top alternatives to consider.

Shared themes:pharmaverse

rlistings vs xportr: at a glance

Featurerlistingsxportr
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesclinical-trials, listings, pagination, r-packagecdisc, clinical-submissions, sas-transport, pharmaverse
Last editorial update1h ago2h ago
WebsiteVisit →Visit →

What is rlistings?

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

Read the full rlistings trajectory →

What is xportr?

The CDISC transport writer collapsed six pipeline calls into one, then spent two years hardening it

xportr applies CDISC metadata — variable types, lengths, labels, formats, ordering — to R data frames and writes the SAS transport files that go into regulatory submissions. Since v0.4.0 the package has had a single entry point, xportr_process(), that runs the whole chain and writes, and metadata arrives as a plain specification rather than a metacore object. The v0.5.0 release in January 2026 finished the cleanup by deleting every deprecated argument left over from that redesign.

Read the full xportr trajectory →

rlistings vs xportr: editorial side-by-side

R
rlistings
ANALYTICS
0.0

Clinical listings that keep inheriting their hardest problem — pagination — from the layer below.

◆ Current state

rlistings renders clinical-trial subject listings and paginates them for regulatory output, sitting alongside rtables on the shared formatters engine. The releases in this window are dominated by pagination correctness: repeated key columns across pages, splitting by a variable, ordered-factor handling, column gaps, and font metrics. Development is a large rotating contributor set inside the insightsengineering organisation.

◆ Where it's heading

The package is progressively delegating pagination to formatters rather than implementing it — paginate_listing() was refactored to call formatters' paginate_to_mpfs() directly, and truetype font support arrived through a new formatters API. That reduces duplicated logic but ties the package's page-break behaviour to a dependency it shares with rtables. Feature work beyond pagination is thin: better error messages for unsupported column classes, a cheatsheet.

◆ Prediction

Expect pagination fidelity to remain the focus, with changes arriving as formatters exposes more of its layout machinery rather than as rlistings-native features.

X
xportr
ANALYTICS
0.0

The CDISC transport writer collapsed six pipeline calls into one, then spent two years hardening it

◆ Current state

xportr applies CDISC metadata — variable types, lengths, labels, formats, ordering — to R data frames and writes the SAS transport files that go into regulatory submissions. Since v0.4.0 the package has had a single entry point, xportr_process(), that runs the whole chain and writes, and metadata arrives as a plain specification rather than a metacore object. The v0.5.0 release in January 2026 finished the cleanup by deleting every deprecated argument left over from that redesign.

◆ Where it's heading

The work has moved from building the pipeline to defending it against the ways submission data actually arrives: grouped data frames now raise a warning, date and time variables get class checks, illegal characters are resolved rather than erroring, and xportr_write() warns before a file crosses 5GB instead of producing an unusable artifact. Contributor volume is high and spread across sponsors — Atorus, Roche, GSK and others show up in the PR lists — which is what keeps a validated-context package moving without a single owner.

◆ Prediction

With deprecations cleared in 0.5.0, the next cycle likely targets more input-shape validation of the kind 0.5.0 started — the grouped-data and datetime-class checks read as the first two of a series. Nothing in these entries points to a new output format.

Alternatives to rlistings and xportr

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either rlistings or xportr.

See all rlistings alternatives → · See all xportr alternatives →

Recent activity from rlistings and xportr

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 7mo agoxportrDeprecated arguments deleted; 5GB and datetime guards added
  2. 1y agoxportrTest fixes for the metacore 0.2.0 update
  3. 1y agorlistingsError and message handling for difftime and zero-row listings
  4. 1y agoxportrhms accepted as a numeric type; domain logging filled in
  5. 1y agoxportrFile-size limit moves into xportr_write, deprecating xportr_split
  6. 1y agorlistingsTrueType font support and col_gap in pagination
  7. 2y agorlistingssplit_into_pages_by_var() and pagination moved onto formatters
  8. 2y agoxportrxportr_process() runs the whole pipeline in one call
  9. 2y agoxportrUnused dependencies removed

Frequently asked questions

What is the difference between rlistings and xportr?

Both compete on the same themes — pharmaverse — within Analytics. rlistings and xportr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is rlistings better than xportr?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. rlistings and xportr are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to rlistings?

Top rlistings alternatives in Analytics are ranked by recent ship velocity. Browse the "rlistings alternatives" section above for the current picks, or visit /alternatives/rlistings for the full list with editorial commentary on each.

What are the best alternatives to xportr?

Top xportr alternatives in Analytics are ranked by recent ship velocity. Browse the "xportr alternatives" section above for the current picks, or visit /alternatives/xportr for the full list with editorial commentary on each.